CollaGen: Collaboration between automatic cartographic Generalisation Processes - Advances in Cartography and GIScience - page 541

CollaGen : Collaboration between automatic
cartographic Generalisation Processes
Guillaume Touya, Cécile Duchêne
Laboratoire COGIT- IGN France,=
73 avenue de Paris 94165 Saint-Mandé Cedex France
[e-mail]; [e-mail]
Abstract
Cartographic generalisation seeks to summarise geographical information
to produce legible maps at smaller scales. Past research led to the develop-
ment of many automated cartographic generalisation processes, each one
being more or less specialised to a particular problem: a landscape like
urban areas, a data theme like land use, a cartographic conflict like linear
symbol overlap or most of the time of mix of the three. This paper deals
with the development of a model allowing collaborative generalisation i.e.
the collaboration between automatic processes like these in order to tackle
the generalisation of a complete map. CollaGen, our proposed model,
allows to partition data in geographic spaces and to find to best suited process
to generalise each space. The applications of a process on a space are
automatically orchestrated. Interoperability between processes is managed
thanks to formal constraints and side effects are monitored after each pro-
cess application. Results from CollaGen prototype are shown and discussed.
1- Background and Objectives
Cartographic generalisation seeks to summarise geographic data to pro-
duce legible maps at smaller scales. The automation of cartographic gener-
alisation would make the production of map series easier as well as it
would allow quality on-demand mapping. The past twenty years of
research in the generalisation domain have lead to the development of many
different and complementary automatic models and processes. (Barrault
et al. 2001, Harrie and Sarjakoski 2002, Duchêne 2004, Bader et al. 2005,